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Microsoft Dynamics 365 AI for Business Insights

You're reading from  Microsoft Dynamics 365 AI for Business Insights

Product type Book
Published in Mar 2024
Publisher Packt
ISBN-13 9781801810944
Pages 178 pages
Edition 1st Edition
Languages
Author (1):
Dmitry Shargorodsky Dmitry Shargorodsky
Profile icon Dmitry Shargorodsky

Table of Contents (18) Chapters

Preface 1. Part 1: Foundations of Dynamics 365 AI
2. Chapter 1: Introduction and Architectural Overview of Dynamics 365 AI 3. Chapter 2: Microsoft Dynamics 365 AI Architecture and Foundations 4. Part 2: Implementing Dynamics 365 AI Across Business Functions
5. Chapter 3: Implementing Dynamics 365 AI for Sales Insights 6. Chapter 4: Driving Customer Service Excellence with Dynamics 365 AI 7. Chapter 5: Marketing Optimization with Dynamics 365 AI 8. Chapter 6: Financial Analytics with Dynamics 365 AI 9. Part 3: Advanced Applications and Future Directions
10. Chapter 7: Leveraging Generative AI in Dynamics 365 11. Chapter 8: Harnessing MS Copilot for Enhanced Business Insights 12. Chapter 9: “Virtual Agent for Customer Service” in the Context of MS Copilot and Microsoft Dynamics 13. Chapter 10: Fraud Protection with Dynamics 365 AI 14. Part 4: Looking Ahead
15. Chapter 11: Future Trends and Developments in Dynamics 365 AI 16. Index 17. Other Books You May Enjoy

Exploring advancements in AI technologies and their implications for Dynamics 365 AI

As we delve deeper into the technological revolution sweeping across the digital landscape, it becomes clear that the advancements in AI are not just reshaping our present but are also intricately crafting the future of business operations and strategies. Dynamics 365 AI, standing at the confluence of innovation and practicality, is poised to significantly benefit from these advancements, transforming how businesses interact with their data, engage with customers, and streamline operations. This section explores the cutting-edge developments in AI technologies and their potential implications for Dynamics 365 AI.

Federated learning – a new paradigm in data privacy and AI

Federated learning represents a seismic shift in how AI models are trained, focusing on privacy and data security. By allowing AI models to learn from decentralized data sources without needing to transfer the data to...

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